Bayesian accelerated failure time and its application in Chemotherapy drug treatment trial

Abstract

The Cox proportional hazards model (CPH) is normally applied in clinical trial data analysis, but it can generate severe problems with breaking the proportion hazard assumption. An accelerated failure time (AFT) is considered as an alternative to the proportional hazard model. The model can be used through consideration of different covariates of interest and random effects in each section. The model is simple to fit by using Open Bugs software and is revealed to be a good fit to the Chemotherapy data.